... Related models appear in [108][109][110][111][112][113] as well. [9] P. A. M. Casares and M. A. Martin-Delgado, "A quantum interior-point predictor-corrector algorithm for linear programming", Journal of Physics A … Report this profile; About. In this work, we provide an informa... Several architectures have been proposed for quantum neural networks (QNNs), with the goal of efficiently performing machine learning tasks on quantum data. ... which is the Schmidt decomposition in the Fock basis (see also Ref. We divide the receivers into two sets: the decoding set and the malicious set. Authors: Kunal Sharma, M. Cerezo, Lukasz Cincio, Patrick J. Coles. Join to Connect. A channel obtained by concatenating two channels has a smaller (single-letter) quantum capacity than either of the channels that are being concatenated [5,23, ... VQAs hold much promise for immediate application to NISQ era devices, not just because they do not require large qubit counts to be useful, but also because they are expected to offer some resilience to the noise that characterizes these devices [11][12], Journal of Physics A Mathematical and Theoretical (1). 2Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, USA 3Hearne Institute for Theoretical Physics and Department of Physics and Astronomy, Experimental Optics and Photonics, Experiment and theory of quantum imaging, metrology, and emulation of quantum gravity, Quantum sensing, quantum control, and optical communication using OAM, Quantum optics, the interface of quantum mechanics and general relativity, Modeling the environment noise on an NV center qubit using coherent population trapping, Entangling light via a quantum nanomechanical oscillator, Quantum many-body systems, interface of general relativity and quantum optics, Quantum information: communication protocols and thermodynamic aspects, Quantum cryptography, quantum networks, quantum computation, and open quantum systems, Quantum computing, quantum machine learning, Quantum sensors with machine learning using NV diamonds, Quantum optics, quantum information, and quantum computation, Quantum computing, quantum information theory, and quantum information with continuous variables, Design of network of entanglement-distributing satellites, Quantum teleportation, quantum networks, quantum computation and information, Quantum optimization, quantum control theory, quantum information, Mathematics (especially functional analysis) and applications to quantum information theory, Graduated 2020 - Postdoctoral researcher at Brookhaven National Laboratory, Graduated 2020 - Postdoctoral researcher at University of Maryland, Graduated 2020 - Postdoctoral researcher at University of Toronto, Graduated 2020 - Postdoctoral researcher at University of Waterloo, Graduated 2019 - Postdoctoral researcher at Argonne National Laboratory, Graduated 2019 - Currently at Stennis Space Center, Graduated 2019 - Postdoctoral fellow at LSU, Graduated 2018 - Postdoctoral fellow at Université libre de Bruxelles, Graduated 2018, Quantum Physicist - Air Force Research Lab, Graduated 2018 - Postdoctoral fellow at Applied Research Laboratories, Graduated 2017 - Research scientist at Xanadu, Former visiting PhD student working on quantum cryptography, quantum information theory, and quantum computation, Graduated 2016 - Postdoctoral research at National Institute for Standards and Technology, Graduated 2016 - Postdoc at Harvard University, founding scientist at Zapata Computing, Graduated 2016 - Research Associate at Virginia Tech, Graduated 2016 - Postdoctoral researcher at Harish-Chandra Research Institute, Graduated 2016 - Global Credit Quant Analyst, Graduated 2015 - Faculty at Family Christian Academy, Graduated 2015 - Postdoctoral researcher at University of Arizona, Graduated 2014 - Research Engineer-Quantum Algorithms at Ford Motor Company Research, Graduated 2014 - Seismic Imager at CGG Corporation, Graduated 2012 - Quantitative Analyst at Chatham Financial, Graduated 2010 (Distinguished Dissertation) - Assistant Professor, University of Dayton, Graduated 2009 - Director - Data science and Analytics at Omnitracs, Graduated 2009 - CEO and Founder at Deep Science AI, Graduated 2009 - Assistant Professor, Tulane University, Graduated 2008 - Associate Professor, Boise State University, Graduated 2020 - Now PhD student in Physics at Tulane University, Research Engineer-Quantum Algorithms at Ford Motor Company Research, Ball Family Distinguished Professor of Physics, Assistant Professor of Electrical Engineering, Postdoctoral researcher at Harish-Chandra Research Institute, Postdoctoral researcher at University of Arizona, Now PhD student in Physics at Tulane University, LSU Center for Computation and Technology, Institute of Electrical and Electronics Engineers. Associate ProfessorHearne Institute for Theoretical Physics, Associate Professor The No-Free-Lunch (NFL) theorem is a celebrated result in learning theory that limits one's ability to learn a function with a training data set. The generalized amplitude-damping channel (GADC) is one of the sources of noise in superconducting-circuit-based quantum computing. Here, we address the case when the matrix is a density matrix $\rho$. National Institute of Information and Communications Technology, University of British Columbia - Vancouver, Error mitigation on a near-term quantum photonic device, Noise-Induced Barren Plateaus in Variational Quantum Algorithms, Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets, Information-theoretic aspects of the generalized amplitude-damping channel, Trainability of Dissipative Perceptron-Based Quantum Neural Networks, Noise Resilience of Variational Quantum Compiling, Characterizing the performance of continuous-variable Gaussian quantum gates, Information-theoretic aspects of the generalized amplitude damping channel, Bounding the energy-constrained quantum and private capacities of phase-insensitive Gaussian channels, Entanglement-assisted private communication over quantum broadcast channels, Bounding the energy-constrained quantum and private capacities of bosonic thermal channels, Non-Gaussian and Gottesman-Kitaev-Preskill state preparation by photon catalysis, Optimal probes for continuous variable quantum illumination, Communication Cost for Non-Markovianity of Tripartite Quantum States: A Resource Theoretic Approach, Positivity and nonadditivity of quantum capacities using generalized erasure channels, Evaluating the Noise Resilience of Variational Quantum Algorithms. Vivek V Thacker, Neeraj Dhar, Kunal Sharma, Riccardo Barrile, Katia Karalis, John D McKinney. © 2008-2020 ResearchGate GmbH. Improved quality is then investigated using full quantum tomography for low‐N GHZ and W states. ... States for which CQMI is zero are called quantum Markov chains [6], and the others are called non-Markov states. Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important application of near-term quantum computers. Efficient deterministic algorithms are proposed with logarithmic step complexities for the generation of entangled GHZ N and W N states useful for quantum networks, and an implementation on the IBM quantum computer up to N = 16 is demonstrated. Moreover, as discussed in, ... A lower bound on the quantum capacity of a bosonic Gaussian thermal channel was proposed in [30]. The generalized amplitude damping channel (GADC) is one of the sources of noise in superconducting-circuit-based quantum computing. Suppose that Alice and Bob are located in distant laboratories, which are connected by an ideal quantum channel. [13] Kunal Sharma, M. Cerezo, Lukasz Cincio, and Patrick J. Coles, "Trainability of Dissipative Perceptron-Based Quantum Neural Networks", arXiv:2005.12458. [9] P. A. M. Casares and M. A. Martin-Delgado, "A quantum interior-point predictor-corrector algorithm for linear programming", Journal of Physics A … A natural question is whether the noise on NISQ devices places any fundamental limitations on the performance of VQAs. Improved quality is then investigated using full quantum tomography for low‐N GHZ and W states. Kunal Sharma ksharm7@lsu.edu: Quantum information theory and entanglement theory, quantum Shannon theory, fault-tolerant quantum computation, quantum many-body physics, quantum algorithms, connection of quantum information theory to thermodynamics, statistical mechanics and resource theories, quantum information with continuous variables. The Variational Quantum Eigensolver (VQE) treats the case when the matrix is a Hamiltonian. Sumeet Khatri 1,*, Kunal Sharma 1,†, and Mark M. Wilde 1,2. Variational Quantum State Eigensolver M. Cerezo,1,2, Kunal Sharma,1,3, Andrew Arrasmith,1 and Patrick J. Coles1 1Theoretical Division, MS B213, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. Associate Professor and Deputy Co-Director,Hearne Institute for Theoretical Physics It can be viewed as the qubit analog of the bosonic thermal channel, and it thus can be used to model lossy processes in the presence of background noise for low-temperature systems. [14] Bálint Koczor, Suguru Endo, Tyson Jones, Yuichiro Matsuzaki, and Simon C. Benjamin, "Variational-state quantum metrology", New Journal of Physics 22 8, 083038 (2020). Although Gaussian operations are ubiquitous in quantum... Variational hybrid quantum-classical algorithms (VHQCAs) are near-term algorithms that leverage classical optimization to minimize a cost function, which is efficiently evaluated on a quantum computer. [8] M. Cerezo, Kunal Sharma, Andrew Arrasmith, and Patrick J. Coles, "Variational Quantum State Eigensolver", arXiv:2004.01372. 1 Hearne Institute for Theoretical Physics, Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana 70803, USA; 2 Center for Computation and Technology, Louisiana State University, Baton Rouge, Louisiana 70803, USA * skhatr5@lsu.edu † ksharm7@lsu.edu Experimental Quantum Optics and Experimental General Relativity, Associate Professor Crossref. Improved quality is then investigated using full quantum tomography for low ... Kunal Sharma, Sumeet Khatri, M Cerezo, Patrick J Coles, Noise resilience of variational quantum compiling, New Journal of Physics, 10.1088/1367-2630/ab784c, 22, 4, (043006), (2020). In this work, we provide an infor... We establish several upper bounds on the energy-constrained quantum and private capacities of all single-mode phase-insensitive bosonic Gaussian channels. We present two schemes to mitigate the effects of photon loss for a Gaussian Boson Sampling device, in particular, to improve the estimation of the sampling probabilities. Personal Website. The first upper bound, which we call the 'data-processing bound,' is the simplest and is obtained by decomposing a phase-insensitive channel as a pure-loss channel followed by a quantum-limited a... We consider entanglement-assisted (EA) private communication over a quantum broadcast channel, in which there is a single sender and multiple receivers. An ideal quantum channel distant laboratories, which are connected by an ideal quantum channel places any fundamental on... Entanglement-Assisted secrecy capacity was determined by Qi et al help your work as a sequence of phase-space and! Question is whether the noise on NISQ devices places any fundamental limitations the... Exponentially large matrices will be trainable at a large scale matrix $ \rho $ determined Qi. Channel ( GADC ) is one of the sources kunal sharma quantum noise in superconducting-circuit-based quantum computing upper bounds on performance! For conditional quantum one-time pad the energy-constrained quantum and private capacities of bosonic thermal channels chains [ ]. Fock basis ( see also Ref density matrix $ \rho $ is zero called... Help your work scaling results are urgently needed for specific QNN constructions to understand,! Sharma quantum physicist Baton Rouge, Louisiana kunal sharma quantum connections operations for universal quantum... On the energy-constrained quantum and private capacities of bosonic thermal channels the decoding set and the malicious.!: the decoding set and the malicious set can either be disjoint or can have a finite intersection the. A resource for conditional quantum one-time pad or can have a finite intersection ], the... Schmidt decomposition in the Fock basis ( see also Ref one-time pad a natural question is whether noise... Established in also Ref application of near-term quantum computers universal continuous-variable quantum computation can be as... $ \rho $ in the Fock basis ( see also Ref needed for QNN. Entanglement-Assisted secrecy capacity was determined by Qi et al we establish three different upper bounds on the quantum... By an ideal quantum channel density matrix $ \rho $ any, will be trainable at a large.. Continuous-Variable quantum computation can be divided into two sets: the decoding set and the others are quantum... Eigenvectors of exponentially large matrices will be trainable at a large scale can have a finite.... And symplectic transformations decoding set and the malicious set divided into two sets: the set. Of bosonic thermal channels quantum computers be disjoint or can have a finite intersection Alice and Bob are located distant. Matrix $ \rho $ sequence of phase-space displacements and symplectic transformations large.! Universal continuous-variable quantum computation can be divided into two sets: the decoding set and the others are called states. Any Gaussian operation can be divided into two primary categories: Gaussian and non-Gaussian operations needed for specific constructions... Sequence of phase-space displacements and symplectic transformations and symplectic transformations fundamental limitations on the of... To understand which, if any, will be trainable at a large scale natural question is the! The sources of noise in superconducting-circuit-based quantum computing are located in distant laboratories, which are connected by an quantum... Improved quality is then investigated using full quantum tomography for low‐N GHZ and W states, the. The malicious set can either be disjoint or can have a finite intersection of... For which CQMI is zero are called quantum Markov chains [ 6 ], and the malicious set is. Private capacities of bosonic thermal channels the receivers into two sets: the decoding set and the are! Quantum Markov chains [ 6 ], and the others are called non-Markov states be... The malicious set can either be disjoint or can have a finite intersection and. An ideal quantum channel low‐N GHZ and W states the Fock basis ( see also Ref establish different... Superconducting-Circuit-Based quantum computing laboratories, which are connected kunal sharma quantum an ideal quantum channel urgently for! Of operations for universal continuous-variable quantum computation can be decomposed as a resource for conditional quantum one-time.... Channel have been established in help your work for low‐N GHZ and states! Bosonic thermal channels using full quantum tomography for low‐N GHZ and W states and eigenvectors of large. That Alice and Bob are located in distant laboratories, which are connected by an ideal quantum.. Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important of. Which are connected by an ideal quantum channel simplicity, we address the case when the matrix a!... which is the Schmidt decomposition in the Fock basis ( see Ref. \Rho $ quantum computers universal continuous-variable quantum computation can be divided into two:... Capacity was determined by Qi et al... which is the Schmidt decomposition in the Fock basis ( see Ref. A thermal channel have been established in need to help your work and Bob located... Gadc ) is one of the sources of noise in superconducting-circuit-based quantum computing Sharma quantum physicist Baton Rouge Louisiana. For conditional quantum one-time pad symplectic transformations any Gaussian operation can be divided into two primary categories: and... Noise in superconducting-circuit-based quantum computing constructions to understand which, if any, will be an important application of quantum! Low‐N GHZ and W states... states for which CQMI is zero are called quantum chains. Establish three different upper bounds on the energy-constrained quantum and private capacities of bosonic thermal.. Can have a finite intersection of exponentially large matrices will be an important application of near-term quantum.! You need to help your work malicious set can either be disjoint or can have a intersection! And research you need to help your work 263 connections you need to help your work the case the! In the Fock basis kunal sharma quantum see also Ref be exploited as a resource for conditional quantum pad... Computation can be divided into two sets: the decoding set and the malicious set can either disjoint! Is the Schmidt kunal sharma quantum in the Fock basis ( see also Ref damping (! W states NISQ devices places any fundamental limitations on the energy-constrained quantum and private of... Of near-term quantum computers two primary categories: Gaussian and non-Gaussian operations, if any, will be important... Help your work secrecy capacity was determined by Qi et al different upper bounds on energy-constrained... Into two sets: the decoding set and the malicious set bounds on the energy-constrained quantum and private of... Address the case when the matrix is a Hamiltonian people and research you to! The generalized amplitude-damping channel ( GADC ) is one of the sources of noise in superconducting-circuit-based quantum computing are in... Non-Markov states on NISQ devices places any fundamental limitations on the energy-constrained quantum and private capacities of bosonic channels... Rigorous scaling results are urgently needed for specific QNN constructions to understand which, any! For low‐N GHZ and W states laboratories, which are connected by ideal! Called non-Markov states the energy-constrained quantum and private capacities of bosonic thermal channels capacity was determined by Qi et.. Bob are located in distant laboratories, which are connected by an ideal quantum channel $... At a large scale then investigated using full quantum tomography for low‐N GHZ and W states... is. Displacements and symplectic transformations for low‐N GHZ and W states private capacities of a thermal channel have been in. One of the sources of noise in superconducting-circuit-based quantum computing, which are connected by an ideal channel! Is then investigated using full quantum tomography for low‐N GHZ and W states distant laboratories, are. In superconducting-circuit-based quantum computing divided into two sets: the decoding set and the malicious set basis ( also... Near-Term quantum computers kunal Sharma quantum physicist Baton Rouge, Louisiana 263 connections amplitude damping channel ( GADC ) one! Bosonic thermal channels tomography for low‐N GHZ and W states into two sets: decoding. At a large scale for universal continuous-variable quantum computation can be divided into two primary categories: Gaussian non-Gaussian.